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Table 4 Model calibration of breast cancer-specific mortality regressed on prognostic variables in SEER data

From: Development of a prediction model for breast cancer based on the national cancer registry in Taiwan

  Breast cancer-specific survival Overall survival
Calibration year Observed Predicted P value Observed Predicted P value
Training data
 1 51 52.64 0.821 83 83.87 0.924
 2 229 236.75 0.615 316 317.83 0.918
 3 363 373.45 0.589 481 475.71 0.808
 4 425 422.94 0.920 569 544.60 0.296
 5 348 350.04 0.913 466 456.30 0.650
 6 220 215.38 0.753 290 275.41 0.379
Testing data
 1 33 25.28 0.125 47 41.21 0.367
 2 109 114.89 0.583 142 157.12 0.228
 3 177 182.81 0.668 237 237.48 0.975
 4 202 206.35 0.762 266 270.31 0.793
 5 176 172.28 0.777 227 226.75 0.987
 6 96 104.32 0.416 129 133.50 0.697
White
 1 236 132.35 < 0.001 416 245.11 < 0.001
 2 472 432.07 0.055 805 666.75 < 0.001
 3 554 570.83 0.481 905 834.99 0.015
 4 378 426.84 0.018 617 628.31 0.652
 5
 6
Black
 1 47 29.32 0.001 87 43.98 < 0.001
 2 132 90.05 < 0.001 194 115.66 < 0.001
 3 138 115.04 0.032 195 141.00 < 0.001
 4 99 86.07 0.164 146 106.57 < 0.001
 5
 6
Asian
 1 10 7.57 0.377 23 13.93 0.015
 2 22 24.51 0.612 43 38.03 0.421
 3 21 29.84 0.106 43 44.16 0.862
 4 17 23.31 0.191 29 33.42 0.445
 5
 6